Triple

T18199375
Position Surface form Disambiguated ID Type / Status
Subject Mirza Basheer-ud-Din Mahmood Ahmad E435741 entity
Predicate spouse P13 FINISHED
Object Sara Begum
Sara Begum was one of the wives of Mirza Basheer-ud-Din Mahmood Ahmad, the second Caliph and a prominent leader of the Ahmadiyya Muslim Community.
E1311799 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sara Begum | Statement: [Mirza Basheer-ud-Din Mahmood Ahmad, spouse, Sara Begum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sara Begum
Context triple: [Mirza Basheer-ud-Din Mahmood Ahmad, spouse, Sara Begum]
  • A. Wafa Begum
    Wafa Begum was a queen consort of the Durrani Empire as the wife of Afghan ruler Shuja Shah Durrani.
  • B. Maryam Begum
    Maryam Begum was a Safavid royal woman best known as the mother of Shah Sultan Husayn, the last Safavid ruler of Iran.
  • C. Qudsia Begum
    Qudsia Begum was a Mughal royal consort and influential matriarch best known as the mother of Emperor Akbar II.
  • D. Jani Begum
    Jani Begum was a Mughal royal consort known primarily as the wife of Emperor Azam Shah, son of Aurangzeb.
  • E. Munny Begum
    Munny Begum was a prominent consort of Nawab Mir Jafar of Bengal who wielded considerable influence in the late 18th-century Nawabi court.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sara Begum
Triple: [Mirza Basheer-ud-Din Mahmood Ahmad, spouse, Sara Begum]
Generated description
Sara Begum was one of the wives of Mirza Basheer-ud-Din Mahmood Ahmad, the second Caliph and a prominent leader of the Ahmadiyya Muslim Community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sara Begum
Target entity description: Sara Begum was one of the wives of Mirza Basheer-ud-Din Mahmood Ahmad, the second Caliph and a prominent leader of the Ahmadiyya Muslim Community.
  • A. Wafa Begum
    Wafa Begum was a queen consort of the Durrani Empire as the wife of Afghan ruler Shuja Shah Durrani.
  • B. Maryam Begum
    Maryam Begum was a Safavid royal woman best known as the mother of Shah Sultan Husayn, the last Safavid ruler of Iran.
  • C. Qudsia Begum
    Qudsia Begum was a Mughal royal consort and influential matriarch best known as the mother of Emperor Akbar II.
  • D. Jani Begum
    Jani Begum was a Mughal royal consort known primarily as the wife of Emperor Azam Shah, son of Aurangzeb.
  • E. Munny Begum
    Munny Begum was a prominent consort of Nawab Mir Jafar of Bengal who wielded considerable influence in the late 18th-century Nawabi court.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d545f4819090285d1446bd3c27 completed April 19, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03980f600c819099f3fb14744f8afa completed May 12, 2026, 9:13 p.m.
NEDg Description generation batch_6a0398fb7fb481908a32c56a798d81fd completed May 12, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_6a039a2b85888190bbcae1ba9d8ba715 completed May 12, 2026, 9:22 p.m.
Created at: April 10, 2026, 10:31 a.m.